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cREAtIve : reconfigurable embedded artificial intelligence

Poona Bahrebar (UGent) , Leon Denis, Maxim Bonnaerens (UGent) , Kristof Coddens, Joni Dambre (UGent) , Wouter Favoreel, Illia Khvastunov, Adrian Munteanu, Hung Nguyen-Duc, Stefan Schulte, et al.
(2021) PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021). p.194-199
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Abstract
cREAtIve targets the development of novel highly-adaptable embedded deep learning solutions for automotive and traffic monitoring applications, including position sensor processing, scene interpretation based on LiDAR, and object detection and classification in thermal images for traffic camera systems. These applications share the need for deep learning solutions tailored for deployment on embedded devices with limited resources and featuring high adaptability and robustness to changing environmental conditions. cREAtIve develops knowledge, tools and methods that enable hardware-efficient, adaptable, and robust deep learning.
Keywords
robustness, deep learning, reconfiguration, object detection and classification, automotive and traffic monitoring, embedded devices, position sensors, point cloud processing

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Citation

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MLA
Bahrebar, Poona, et al. “CREAtIve : Reconfigurable Embedded Artificial Intelligence.” PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021), Association for Computing Machinery (ACM), 2021, pp. 194–99, doi:10.1145/3457388.3458857.
APA
Bahrebar, P., Denis, L., Bonnaerens, M., Coddens, K., Dambre, J., Favoreel, W., … Verbruggen, G. (2021). cREAtIve : reconfigurable embedded artificial intelligence. PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021), 194–199. https://doi.org/10.1145/3457388.3458857
Chicago author-date
Bahrebar, Poona, Leon Denis, Maxim Bonnaerens, Kristof Coddens, Joni Dambre, Wouter Favoreel, Illia Khvastunov, et al. 2021. “CREAtIve : Reconfigurable Embedded Artificial Intelligence.” In PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021), 194–99. Association for Computing Machinery (ACM). https://doi.org/10.1145/3457388.3458857.
Chicago author-date (all authors)
Bahrebar, Poona, Leon Denis, Maxim Bonnaerens, Kristof Coddens, Joni Dambre, Wouter Favoreel, Illia Khvastunov, Adrian Munteanu, Hung Nguyen-Duc, Stefan Schulte, Dirk Stroobandt, Ramses Valvekens, Nick Van den Broeck, and Geert Verbruggen. 2021. “CREAtIve : Reconfigurable Embedded Artificial Intelligence.” In PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021), 194–199. Association for Computing Machinery (ACM). doi:10.1145/3457388.3458857.
Vancouver
1.
Bahrebar P, Denis L, Bonnaerens M, Coddens K, Dambre J, Favoreel W, et al. cREAtIve : reconfigurable embedded artificial intelligence. In: PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021). Association for Computing Machinery (ACM); 2021. p. 194–9.
IEEE
[1]
P. Bahrebar et al., “cREAtIve : reconfigurable embedded artificial intelligence,” in PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021), Catania, Italy (Virtual event), 2021, pp. 194–199.
@inproceedings{8714053,
  abstract     = {{cREAtIve targets the development of novel highly-adaptable embedded deep learning solutions for automotive and traffic monitoring applications, including position sensor processing, scene interpretation based on LiDAR, and object detection and classification in thermal images for traffic camera systems. These applications share the need for deep learning solutions tailored for deployment on embedded devices with limited resources and featuring high adaptability and robustness to changing environmental conditions. cREAtIve develops knowledge, tools and methods that enable hardware-efficient, adaptable, and robust deep learning.}},
  author       = {{Bahrebar, Poona and Denis, Leon and Bonnaerens, Maxim and Coddens, Kristof and Dambre, Joni and Favoreel, Wouter and Khvastunov, Illia and Munteanu, Adrian and Nguyen-Duc, Hung and Schulte, Stefan and Stroobandt, Dirk and Valvekens, Ramses and Van den Broeck, Nick and Verbruggen, Geert}},
  booktitle    = {{PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2021 (CF 2021)}},
  isbn         = {{9781450384049}},
  keywords     = {{robustness,deep learning,reconfiguration,object detection and classification,automotive and traffic monitoring,embedded devices,position sensors,point cloud processing}},
  language     = {{eng}},
  location     = {{Catania, Italy (Virtual event)}},
  pages        = {{194--199}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{cREAtIve : reconfigurable embedded artificial intelligence}},
  url          = {{http://doi.org/10.1145/3457388.3458857}},
  year         = {{2021}},
}
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